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Data Science Tools for Alcohol Research


  1. Data Science Tools for Alcohol Research

Fast-Track proposals will not be accepted.
Number of anticipated awards: 1-2
Budget (total costs, per award): Phase I: up to $225,000 for 6-12 months.



NIAAA supported studies in genomics, imaging, electrophysiology and optogenetics, electronic health records, and personal wearable devices presents new challenges in analyses and interpretations and opportunities for discovery. Data science includes and extends beyond bioinformatics and computational neuroscience to discover new relationships and pathways for complex systems of normal human function and during adaptations due to disorders or disease. The volumes of data produced by NIAAA-supported research, along with publicly available databases and future results, can be analyzed using data science approaches. However, many of the tools needed to answer questions in alcohol research require specific applications, algorithms or toolkits that are not currently available.


Project Goal

The goal is to develop data science analysis algorithms, mathematical models, and software tools in alcohol research, integrating data across disciplines and clinical and basic sciences realms.

Phase I Activities and Deliverables

Specific deliverables are:

  • New algorithms for integrative analysis of current NIAAA and public ‘big data’ sets, including machine learning, deep learning, artificial intelligence, data mining and other model based and model-free approaches.
  • Software applications for data interfaces for aggregation, imputation, harmonization, or visualization of data from multiple sources, including current and future NIH data systems (i.e. NCBI (National Center for Biotechnology Information), dbGaP (database of Genotypes and Phenotypes), National Institute of Mental Health Data Archive), or other studies of alcohol research.
  • Algorithms and/or software tools for improving data collection, i.e. smart phone apps, extraction of specific alcohol research parameters from existing large databases and established public health studies, biological sensors or wearable devices.
  • Generation and validation of computational and/or systems biology models of alcohol exposure and use on cellular, organ, network, or organism scales.  Multiscale models are appropriate, along with models that include data from clinical and basic science research.

Activities and deliverables are expected to use currently available data sets and databases. The generation of new primary data is not supported by this topic.



National Institute of Allergy and Infectious Diseases (NIAID)

The National Institute of Allergy and Infectious Diseases (NIAID) conducts and supports basic and applied research to better understand, treat, and ultimately prevent infectious, immunologic, and allergic diseases. For more than 60 years, NIAID research has led to new therapies, vaccines, diagnostic tests, and other technologies that have improved the health of millions of people in the United States and around the world. To learn more about the NIAID, please visit our web page at

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